Facilitating tourists' decision making through open data analyses: a novel recommender system
Article
Pantano, E., Priporas, C., Stylos, N. and Dennis, C. 2019. Facilitating tourists' decision making through open data analyses: a novel recommender system. Tourism Management Perspectives. 31, pp. 323-331. https://doi.org/10.1016/j.tmp.2019.06.003
Type | Article |
---|---|
Title | Facilitating tourists' decision making through open data analyses: a novel recommender system |
Authors | Pantano, E., Priporas, C., Stylos, N. and Dennis, C. |
Abstract | A number of studies have recently been published reporting researchers' efforts to create new, more efficient recommender systems to support tourists' decision making. This current research operationalizes a recommender system by filtering user-generated data that is abundantly available online, based on individuals' evaluation criteria, to produce a dataset for analysis. Drawing upon an array of predictive models, this research proposes a new recommender system able to facilitate the tourist decision making process through successful managing of open data. It further presents a rating estimation method using ratings that pertain to online users-specified criteria (profile). The model is able to predict consumers' ratings of a certain product with high reliability starting from open data on their profiles. |
Keywords | Recommender system; Tourist decision making process; Consumer information processing; Classifier systems; Open data analysis |
Sustainable Development Goals | 3 Good health and well-being |
Middlesex University Theme | Health & Wellbeing |
Publisher | Elsevier |
Journal | Tourism Management Perspectives |
ISSN | 2211-9736 |
Electronic | 2211-9744 |
Publication dates | |
Online | 02 Jul 2019 |
Jul 2019 | |
Publication process dates | |
Submitted | 02 Nov 2018 |
Deposited | 21 May 2024 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.tmp.2019.06.003 |
Scopus EID | 2-s2.0-85068120047 |
Web of Science identifier | WOS:000477800800029 |
Language | English |
https://repository.mdx.ac.uk/item/987x2
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